from pylab import *
import numpy as np
import noise
# ---------------------
N=1;
f=np.zeros(N);
omega = 1;
famp=0.01;
noise_mean=0
noise_var=1;
# ---------------------
def model(y,t,dt,istep):
  return 0;
# ---------------------
def Smodel(y,t,dt,istep):
  f[0]=famp*noise.gaussian(noise_mean,noise_var,1)
  return f;
# ---------------------
def dimension():
  print "Langveing Equation of one variable"
  return N;
#---------------------
def diagnostic(y,t,counter):
  energy=y[0]*y[0]
  print t,y[0],energy;
#--------------------
def iniconf():
  f[0]=0;
  return f;
